| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 5111800 | Omega | 2016 | 7 Pages |
Abstract
In bike-sharing systems, a small percentage of the bicycles become unusable every day. Currently, there is no reliable on-line information that indicates the usability of bicycles. We present a model that estimates the probability that a specific bicycle is unusable as well as the number of unusable bicycles in a station, based on available trip transaction data. Further on, we present some information based enhancements of the model and discuss an equivalent model for detecting locker failures.
Related Topics
Social Sciences and Humanities
Business, Management and Accounting
Strategy and Management
Authors
Mor Kaspi, Tal Raviv, Michal Tzur,